KEY RESPONSIBILITIES

- Serve as a lead engineer and trusted technical advisor on customer Databricks engagements, from design through production deployment
- Deliver hands-on development on Databricks across multiple customer projects
- Design and optimize distributed-computing workloads on Spark, applying knowledge of Spark runtime internals
- Implement CI/CD for production deployments
- Operationalize MLOps workflows to support machine-learning use cases
- Advise on and apply the breadth of Databricks product and platform features
- Tune workloads for performance, scalability, and cost efficiency
- Work across two or more cloud ecosystems (AWS, Azure, GCP), applying deep expertise in at least one
- Guide customers through best-practice lakehouse implementation and production readiness




- Collaborate with customer stakeholders and onshore leads overlapping PST hours to ensure timely, high-quality delivery

REQUIRED QUALIFICATIONS & SKILLS

- 812 years of experience in data engineering, data platforms, and analytics, including substantial consulting experience.
- Completed the Databricks Data Engineering Qualified certification and the required Databricks classes.
- Minimum 68+ projects delivered with hands-on development experience on Databricks.
- Working knowledge of two or more common cloud ecosystems (AWS, Azure, GCP), with deep expertise in at least one.

📌 Databricks Engineer with CICD and MLops (Hyderabad)
🏢 KPI Partners
📍 Hyderabad